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Amalgamated Financial Stock Price Chart

  • The current trend is moderately bullish and AMAL is experiencing selling pressure, which indicates risk of future bearish movement.

Amalgamated Financial Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 31.35 Buy
20-day SMA: 31.64 Buy
50-day SMA: 30.8 Buy
200-day SMA: 26.25 Buy
8-day EMA: 31.65 Buy
20-day EMA: 31.3 Buy
50-day EMA: 30.27 Buy
200-day EMA: 26.36 Buy

Amalgamated Financial Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.39 Buy
Relative Strength Index (14 RSI): 55.11 Buy
Chaikin Money Flow: -149416 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (30.42 - 32.38) Buy
Bollinger Bands (100): (25.24 - 31.04) Buy

Amalgamated Financial Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Amalgamated Financial Stock

Is Amalgamated Financial Stock a Buy?

AMAL Technical Analysis vs Fundamental Analysis

Buy
78
Amalgamated Financial (AMAL) is a Buy

Is Amalgamated Financial a Buy or a Sell?

Amalgamated Financial Stock Info

Market Cap:
973.55M
Price in USD:
31.77
Share Volume:
190.92K

Amalgamated Financial 52-Week Range

52-Week High:
33.24
52-Week Low:
15.19
Buy
78
Amalgamated Financial (AMAL) is a Buy

Amalgamated Financial Share Price Forecast

Is Amalgamated Financial Stock a Buy?

Fundamental Analysis of Amalgamated Financial

Is Amalgamated Financial a good investment?

  • Analysts estimate an earnings increase this quarter of $0.12 per share, an increase next quarter of $0.06 per share, an increase this year of $0.41 per share, and an increase next year of $0.09 per share.

Technical Analysis of Amalgamated Financial

Should I short Amalgamated Financial stock?

* Amalgamated Financial stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.